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- Tasks: Lead groundbreaking research in multimodal AI and collaborate with a dynamic team.
- Company: Join a leading tech company at the forefront of AI innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in AI while mentoring others and pushing boundaries.
- Qualifications: PhD in AI or related field, with strong programming skills and research experience.
- Other info: Be part of a vibrant community driving the future of technology.
The predicted salary is between 36000 - 60000 £ per year.
Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.
- Work towards long-term ambitious research goals, while identifying intermediate milestones.
- Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
- Work with a large team.
- Contribute to publications and open-sourcing efforts.
- Mentor other team members.
- Play a significant role in healthy cross-functional collaboration.
- Prioritize research that can be applied to Meta's product development.
Required Skills:
- Push state of the art in multimodal generative AI.
- Explore new techniques for advanced reasoning and multimodal understanding for AI Assistants.
- Mentor and work with AI/ML engineers to find a path from research to production.
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- A PhD in AI, computer science, or related technical fields.
- Publications in machine learning, computer vision, NLP, speech.
- Experience writing software and executing complex experiments involving large AI models and datasets.
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications:
- First (joint) author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).
- Direct experience in generative AI and LLM research.
- Fluent in Python and PyTorch (or equivalent).
AI Research Scientist, Vision Language Models employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Research Scientist, Vision Language Models
✨Tip Number 1
Network like a pro! Reach out to folks in the AI research community, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, publications, and any experiments you've conducted. This is your chance to demonstrate your expertise in multimodal reasoning and generative AI.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your past research and how it aligns with the company's goals. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Research Scientist, Vision Language Models
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI research, especially in multimodal reasoning and generation. We want to see how your skills align with our goals, so don’t be shy about showcasing relevant projects and publications!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about pushing the boundaries of AI and how your background makes you a perfect fit for our team. Let us know what excites you about this role!
Showcase Your Research Impact: When detailing your past work, focus on the impact of your research. Highlight any contributions to publications or open-source projects, and mention how your work has influenced product development or advanced the field.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values!
How to prepare for a job interview at Meta
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and any relevant publications. Be prepared to discuss your contributions in detail, especially those that align with the role's focus on multimodal reasoning and generative AI.
✨Showcase Your Collaboration Skills
Since this role involves working with a large team, be ready to share examples of how you've successfully collaborated in the past. Highlight any mentoring experiences or cross-functional projects that demonstrate your ability to work well with others.
✨Prepare for Technical Questions
Brush up on your technical skills, particularly in Python and PyTorch. Expect questions about designing experiments and writing reusable code, so be ready to discuss your approach to these tasks and any challenges you've faced.
✨Align Your Goals with the Company’s Vision
Research the company’s long-term goals and think about how your ambitions can align with them. Be prepared to discuss how your research can contribute to their product development and what milestones you envision achieving.